Slashdot videos: Now with more Slashdot!
We've improved Slashdot's video section; now you can view our video interviews, product close-ups and site visits with all the usual Slashdot options to comment, share, etc. No more walled garden! It's a work in progress -- we hope you'll check it out (Learn more about the recent updates).
Many large IT shops -- and not a few small ones -- work like the Dead Sea. New hires are brought in as management deems it necessary. Their qualifications (talent, education, professionalism, experience, skills -- TEPES) will tend to vary quite a bit, depending upon current needs, employee departure, the personnel budget, and the general hiring ability of those doing the hiring. All things being equal, the general competency of the IT department should have roughly the same distribution as the incoming hires. Instead, what happens is that the more talented and effective IT engineers are the ones most likely to leave -- to evaporate, if you will. They are the ones least likely to put up with the frequent stupidities and workplace problems that plague large organizations; they are also the ones most likely to have other opportunities that they can readily move to. What tends to remain behind is the 'residue' -- the least talented and effective IT engineers.
the model is so successful that its biggest restrictions are now technological. "We have already shown that the model can scale up," Markram says. "What is holding us back now are the computers." The numbers speak for themselves. Markram estimates that in order to accurately simulate the trillion synapses in the human brain, you'd need to be able to process about 500 petabytes of data (peta being a million billion, or 10 to the fifteenth power). That's about 200 times more information than is stored on all of Google's servers. (Given current technology, a machine capable of such power would be the size of several football fields.) Energy consumption is another huge problem. The human brain requires about 25 watts of electricity to operate. Markram estimates that simulating the brain on a supercomputer with existing microchips would generate an annual electrical bill of about $3 billion . But if computing speeds continue to develop at their current exponential pace, and energy efficiency improves, Markram believes that he'll be able to model a complete human brain on a single machine in ten years or less.
Using the new light-weight Microsoft operating system, SLIM, this PC travels with you effortlessly. The projected touch-gesture interface allows you to interact with your software wherever you are without requiring interface peripherals but its wide-coverage 700 MHz WiFi wireless allows both connection to the web and to performance enhancing peripherals.